
                        Improvement and Simulation Analysis of Wavelet Threshold Algorithm | 
                
| ( Volume 4 Issue 12,December 2017 ) OPEN ACCESS | 
| Author(s): | 
                        Jun Guo, Yao Wang, Wenjun Yi | 
                
| Abstract: | 
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 By studying the traditional threshold function , it is found that the hard threshold function is discontinuous , the pseudo - Gibbs phenomenon occurs , and the soft threshold function is too much eliminating the detail coefficient , which causes the loss of high - frequency signal . The simulation experiment of Wavelet threshold noise reduction for different sonar signals is carried out. The experimental results show that the improved threshold function is better than the conventional algorithm , and the noise - reducing signal has higher SNR and smaller RMSE.  | 
                
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